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Record W2914666767 · doi:10.1111/anae.14594

Mid‐point transverse process to pleura block: clarity or confusion? A reply

2019· letter· en· W2914666767 on OpenAlexaff
I. Costache, Faraj W. Abdallah, Amit Pawa

Bibliographic record

VenueAnaesthesia · 2019
Typeletter
Languageen
FieldMedicine
TopicAnesthesia and Pain Management
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicineConfusionCLARITYSchematicProcess (computing)Block (permutation group theory)Point (geometry)AnatomyComputer scienceGeometry

Abstract

fetched live from OpenAlex

We thank Drs Narayanan and Venkataraju for their comments on our editorial 1. In no way have we attempted to standardise the nomenclature of newer posterior truncal blocks in the paraspinal area. This would require a much wider discussion and consensus than presented in our editorial. We have merely questioned what truly defines a paravertebral block and introduced the reader to the concept that both these newer blocks and traditional landmark paravertebral blocks may achieve paravertebral block via indirect spread, or by proxy 1. We commend the authors on their detailed knowledge of anatomy of the superior costotransverse ligament (SCTL). As they quite correctly state, our schematic diagram is intended to help visualise the concepts discussed in the editorial, rather than to be an accurate anatomical illustration. We disagree that this will confuse the reader, and hope that our description of the mid-point transverse process to pleura (MTP) block 2 reinforces the needle end-point and technique of insertion. In or original description, we defined the mid-point between the transverse process and the pleura as our end-point – the SCTL does not need to be visualised during block insertion, which is one of the benefits of the MTP block. In our experience, injection lateral to the transverse process and posterior to the internal intercostal membrane produces a block with similar effect to the MTP and generates pleural displacement. Our schematic merely highlighted the various needle end-points to the true paravertebral space, rather than acting as a roadmap for needle insertion, and we apologise if that was not clear.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.281
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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